Hao, Z.; Post, C.J.; Mikhailova, E.A.; Lin, L.; Liu, J.; Yu, K.
How Does Sample Labeling and Distribution Affect the Accuracy and Efficiency of a Deep Learning Model for Individual Tree-Crown Detection and Delineation. Remote Sens. 2022, 14, 1561.
https://doi.org/10.3390/rs14071561
AMA Style
Hao Z, Post CJ, Mikhailova EA, Lin L, Liu J, Yu K.
How Does Sample Labeling and Distribution Affect the Accuracy and Efficiency of a Deep Learning Model for Individual Tree-Crown Detection and Delineation. Remote Sensing. 2022; 14(7):1561.
https://doi.org/10.3390/rs14071561
Chicago/Turabian Style
Hao, Zhenbang, Christopher J. Post, Elena A. Mikhailova, Lili Lin, Jian Liu, and Kunyong Yu.
2022. "How Does Sample Labeling and Distribution Affect the Accuracy and Efficiency of a Deep Learning Model for Individual Tree-Crown Detection and Delineation" Remote Sensing 14, no. 7: 1561.
https://doi.org/10.3390/rs14071561
APA Style
Hao, Z., Post, C. J., Mikhailova, E. A., Lin, L., Liu, J., & Yu, K.
(2022). How Does Sample Labeling and Distribution Affect the Accuracy and Efficiency of a Deep Learning Model for Individual Tree-Crown Detection and Delineation. Remote Sensing, 14(7), 1561.
https://doi.org/10.3390/rs14071561
